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Liana C. Sayer, Associate Professor, Department of Sociology, University of Maryland

Unstable and Unpredictable Work Schedules: Effects on Wellbeing and What to Do About It

Women’s education and marriage in Japan: Insights into Social Change (and Stability)

Structured Instability: School Mobility in Baltimore City and its Inner Suburb

A Place at the Top: Trends in Access to the Highest Income and Earnings Positions in the United States

Effects of Policing and Detainment on Psychosocial Vulnerability and Drug and Sex Risk among Minority Men who have Sex with Men

Working lives and health in later life

Racial Disparities in Health: Physician Bias and Veterans’ Pensions

Contributions to policy discussions in Chile recognized

Objective: Cardiometabolic disease is the leading cause of mortality in the United States. Cardiometabolic function during adolescence predicts future cardiometabolic disease, yet few studies have examined early determinants of cardiometabolic function. Informed by evidence of sex differences in the prevalence and severity of cardiometabolic disorders and evidence of sexual dimorphism in the stress response, we examined sex differences in the association between living in poverty and cardiometabolic function during adolescence, a precursor of later cardiometabolic disorders. Methods: We linked data from 10 415 adolescents aged 12-19 in the National Health and Nutrition Examination Survey (1999-2012) with US Census–tract data on area-level poverty (percentage of the population living in poverty, grouped into quartiles). We parameterized cardiometabolic dysfunction by summing the z scores of 6 cardiometabolic biomarkers, grouped into quintiles. Hierarchical ordinal models estimated associations. Results: Compared with residents in low-poverty areas, residents in high-poverty areas had elevated odds of cardiometabolic dysfunction (highest quartile of poverty odds ratio [OR] = 1.27; 95% confidence interval [CI], 1.08-1.50). This association was more pronounced among boys than girls (highest quartile of poverty for boys: OR = 1.36; 95% CI, 1.10-1.70; highest quartile of poverty for girls: OR = 1.17; 95% CI, 0.94-1.47). Conclusion: Our study supports the existence of sex-specific associations. These results highlight the potential for community-based programs, such as housing assistance, to improve population health.